Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Julian Ryde"'
Publikováno v:
IFAC Proceedings Volumes, 44 (1)
Proceedings of the 18th World Congress
Proceedings of the 18th World Congress
This paper presents a technology demonstrator currently under development and describes experiments carried out to date in autonomous bulk material handling using mobile equipment. Our primary platform is a Bobcat S185 skid-steer loader instrumented
Publikováno v:
Machine Vision and Mechatronics in Practice ISBN: 9783662455135
This paper presents results obtained through the development of a terrain mapping system, which combines millimeter wave and laser scanners to provide enhanced mining situational awareness capability. A comparison of the use of laser and radar data f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb7625d0174f19e58da69c5811ffa846
https://doi.org/10.1007/978-3-662-45514-2_3
https://doi.org/10.1007/978-3-662-45514-2_3
Autor:
Julian Ryde
Publikováno v:
IROS
A novel and inexpensive mechanism for acquiring 3D data suitable for indoor mobile robots is introduced. The scanner is currently capable of ranging up to 4m with an accuracy of 0.05m and costs less than 500USD. The scans cover the whole 360 degrees
Autor:
Huosheng Hu, Julian Ryde
Publikováno v:
2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
For mobile robots to be of value in practical situations a 3D perception and mapping capability will almost always prove essential. In this paper a 2D laser scanner is modified to produce 3D scans with a resolution of one degree updated every 3 secon
Autor:
Huosheng Hu, Julian Ryde
Publikováno v:
Scopus-Elsevier
The premise of cooperative localisation is extended by the idea of simultaneous mutual localisation in this paper. Through simultaneous mutual observation robot teams are able to determine their relative poses accurately and robustly. This novel loca
Autor:
Huosheng Hu, Julian Ryde
Publikováno v:
ICRA
Map building through cooperative localisation (co-location) using circular geometric targets and a SICK laser range scanner is investigated. The tenet of co-location is circle detection in laser range data. Two methods for circle detection, a Range W